Description: 这是一篇关于带通滤波器的毕业设计论文，涵盖IIR与FIR滤波器的设计！-This is an article on the band-pass filter design graduate thesis, covering IIR and FIR filter design! Platform: |
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Author:yuming |
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Description: ％ y=filter(sig,fmin,fmax)
％ 对信号进行理想滤波，可完成低通，带通
％ sig为被滤波信号
％ fmin为下限频率，当fmin为0时为低通滤波器，当fmin>0时，为带通滤波器
％ fmax为上限频率，fmax>fmin
％ fs为信号的采样频率
％ y为经过滤波后的信号
-％ Y = filter (sig, fmin, fmax)％ of the ideal signal filtering, to be completed by low-pass, band-pass filter％ sig for signal％ fmin is the minimum frequency, when fmin for 0:00 for the low-pass filter, when fmin > 0, for the bandpass filter％ fmax is the upper limit frequency, fmax> fmin％ fs for signal sampling frequency％ y for the filtered signal Platform: |
Size: 1024 |
Author:liu |
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Description: NAME:
bpass
PURPOSE:
Implements a real-space bandpass filter which suppress
pixel noise and long-wavelength image variations while
retaining information of a characteristic size.
CATEGORY:
Image Processing
CALLING SEQUENCE:
res = bpass( image, lnoise, lobject )
INPUTS:
image: The two-dimensional array to be filtered.
lnoise: Characteristic lengthscale of noise in pixels.
Additive noise averaged over this length should
vanish. MAy assume any positive floating value.
lobject: A length in pixels somewhat larger than a typical
object. Must be an odd valued integer.
OUTPUTS:
res: filtered image.
PROCEDURE:
simple wavelet convolution yields spatial bandpass filtering.
NOTES:-NAME:
bpass
PURPOSE:
Implements a real-space bandpass filter which suppress
pixel noise and long-wavelength image variations while
retaining information of a characteristic size.
CATEGORY:
Image Processing
CALLING SEQUENCE:
res = bpass( image, lnoise, lobject )
INPUTS:
image: The two-dimensional array to be filtered.
lnoise: Characteristic lengthscale of noise in pixels.
Additive noise averaged over this length should
vanish. MAy assume any positive floating value.
lobject: A length in pixels somewhat larger than a typical
object. Must be an odd valued integer.
OUTPUTS:
res: filtered image.
PROCEDURE:
simple wavelet convolution yields spatial bandpass filtering.
NOTES: Platform: |
Size: 2048 |
Author:santhu |
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Description:
cntrd: calculates the centroid of bright spots to sub-pixel accuracy.
Inspired by Grier & Crocker s feature for IDL, but greatly simplified and optimized
for matlab
INPUTS:
im: image to process, particle should be bright spots on dark background with little noise
ofen an bandpass filtered brightfield image or a nice fluorescent image
mx: locations of local maxima to pixel-level accuracy from pkfnd.m
sz: diamter of the window over which to average to calculate the centroid.
should be big enough
to capture the whole particle but not so big that it captures others.
if initial guess of center (from pkfnd) is far from the centroid, the
window will need to be larger than the particle size. RECCOMMENDED
size is the long lengthscale used in bpass plus 2.
interactive: OPTIONAL INPUT set this variable to one and it will show you the image used to calculate
each centroid, the pixel-level peak and the centroid-
cntrd: calculates the centroid of bright spots to sub-pixel accuracy.
Inspired by Grier & Crocker s feature for IDL, but greatly simplified and optimized
for matlab
INPUTS:
im: image to process, particle should be bright spots on dark background with little noise
ofen an bandpass filtered brightfield image or a nice fluorescent image
mx: locations of local maxima to pixel-level accuracy from pkfnd.m
sz: diamter of the window over which to average to calculate the centroid.
should be big enough
to capture the whole particle but not so big that it captures others.
if initial guess of center (from pkfnd) is far from the centroid, the
window will need to be larger than the particle size. RECCOMMENDED
size is the long lengthscale used in bpass plus 2.
interactive: OPTIONAL INPUT set this variable to one and it will show you the image used to calculate
each centroid, the pixel-level peak and the centroid Platform: |
Size: 2048 |
Author:santhu |
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Description: fir带通滤波器,可将不需要的频率成分的信号滤去-fir bandpass filter unwanted frequency components can be filtered signal Platform: |
Size: 3072 |
Author:夏夏 |
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Description: Computes the discrete fourier transform of a data set and creates a discrete frequency index vector. Generates a figure and plots data spectrum.Generates a low pas filter and multiplies with data spectrum. Generates a figure
and plots filtered data spectrum.Computes the filtered discrete time data set. Generates a figure and plots the filtered discrete time data set.Generates a high pass filter and multiplies the filter and data spectrum. Generate a figure
and plots the filtered data. Computes the filtered discrete time data set. Generates a figure and plots the filtered discrete time data set. Creates a discrete frequency index vector and simulates a data set. Generates a figure and plots the simulated data set. Create a bandpass filter by multiplying a low pass filter with a cosine function in the discrete time domain. Plots original and filtered data spectrum. Platform: |
Size: 1024 |
Author:sehmontine9 |
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Description: 带通滤波器.滤除一定频率内的噪声信号，低频和高频特性不变。-Bandpass filter. Filtered noise signal, the low and high frequency characteristics within certain frequency constant. Platform: |
Size: 1024 |
Author:zhaoweijie |
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Description: 实现了OFDM信号的四倍载波恢复，通过带通，滤出4fc。-Four times to achieve the OFDM signal carrier recovery, through a bandpass filtered off 4fc. Platform: |
Size: 1024 |
Author:sunny |
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Description: % besselfilter. Function to implement a bandpass Bessel Filter.
% Inputs:
% order: Number of poles in the filter. Scalar numeric value.
% low: Lower frequency bound (Hz). Scalar numeric value.
% high: Upper frequency bound (Hz). Scalar numeric value.
% sampling: Sampling frequency (Hz). Scalar numeric value.
% data: Input data. Numeric vector.(% besselfilter. Function to implement a bandpass Bessel Filter.
% Output:
% filtData: Output filtered data. Numeric vector.
% b, a: Transfer function values for the filter. Scalar numeric.
%
% License: Please see license.txt in the same repository.
% In short, this code uses the MIT license:
% http://opensource.org/licenses/MIT
% Author: Arnab Gupta
% Ph.D. Candidate, Virginia Tech.
% Blacksburg, VA.
% Website: http://arnabocean.com
% Repository: http://bitbucket.org/arnabocean
% Email: arnab@arnabocean.com
%
% Version: 1.0
% Last Revised: Thu Dec 12, 2013) Platform: |
Size: 1024 |
Author:nice2017
|
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Description: 通过对随机信号的处理，将其转换为带限信号，再将其通过不同阶数的带通滤波器，得到滤波后的信号。(By processing the random signal, it can be transformed to band limited signal, and then pass the bandpass filter with different orders to get the filtered signal.) Platform: |
Size: 1024 |
Author:初末 |
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Search - bandpass-filtered